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TPDS
2008
136views more  TPDS 2008»
13 years 8 months ago
Data Gathering with Tunable Compression in Sensor Networks
We study the problem of constructing a data gathering tree over a wireless sensor network in order to minimize the total energy for compressing and transporting information from a ...
Yang Yu, Bhaskar Krishnamachari, Viktor K. Prasann...
NECO
2007
87views more  NECO 2007»
13 years 7 months ago
Reinforcement Learning State Estimator
cal networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32, 714-727. (Neuroimage Editor’s Choice Award, 2006) Daw, N. D. Do...
Jun Morimoto, Kenji Doya
CVPR
2010
IEEE
1373views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Harmony Potentials for Joint Classification and Segmentation
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer...
SIAMSC
2010
114views more  SIAMSC 2010»
13 years 6 months ago
Smoothed Aggregation Multigrid for Markov Chains
Abstract. A smoothed aggregation multigrid method is presented for the numerical calculation of the stationary probability vector of an irreducible sparse Markov chain. It is shown...
Hans De Sterck, Thomas A. Manteuffel, Stephen F. M...
TMI
2010
94views more  TMI 2010»
13 years 6 months ago
Theoretical Bounds and System Design for Multipinhole SPECT
Abstract—The pinhole camera in single photon emission computed tomography (SPECT) has an inherent trade-off between resolution and sensitivity. Recent systems overcome this to so...
Peter Nillius, Mats Danielsson